| 基于遗传算法的无功优化在福建电网的实用化改进 |
| |
| 引用本文： | 丁晓群,邓勇,黄伟,张建平,方朝雄,李可文,李子韵.基于遗传算法的无功优化在福建电网的实用化改进[J].电网技术,2004,28(16):44-47. |
| |
| 作者姓名： | 丁晓群 邓勇 黄伟 张建平 方朝雄 李可文 李子韵 |
| |
| 作者单位： | 河海大学电气工程学院,江苏省,南京市,210098;福建电力调度通信中心,福建省,福州市350003;南京市供电局,江苏省,南京市,21001 |
| |
| 摘 要： | 分析了基于遗传算法的无功优化在实际系统应用中存在的问题,在传统遗传算法的基础上,对适应度函数和群体多样性的保持进行了改进,并将设备动作优先级和历史负荷经验数据引入遗传算法,根据福建电网的实际情况完成了遗传算法在无功优化中的实用化改进.实际应用表明,改进后的算法使得控制设备动作合理,动作次数少,能有效地提高电网的电压合格率并降低网损.
|
| 关 键 词： | 改进遗传算法 电力系统 无功优化 福建电网 |
| 文章编号： | 1000-3673(2004)16-0044-04 |
| 修稿时间： | 2004年2月10日 |
PRACTICAL IMPROVEMENT OF REACTIVE POWER OPTIMIZATION BASED ON GENETIC ALGORITHM IN FUJIAN POWER SYSTEM |
| |
| DING Xiao-qun,DENG Yong,HUANG Wei,ZHANG Jian-ping,FANG Chao-xiong,LI Ke-wen,LI Zi-yun.PRACTICAL IMPROVEMENT OF REACTIVE POWER OPTIMIZATION BASED ON GENETIC ALGORITHM IN FUJIAN POWER SYSTEM[J].Power System Technology,2004,28(16):44-47. |
| |
| Authors: | DING Xiao-qun DENG Yong HUANG Wei ZHANG Jian-ping FANG Chao-xiong LI Ke-wen LI Zi-yun |
| |
| Affiliation: | DING Xiao-qun1,DENG Yong1,HUANG Wei1,ZHANG Jian-ping2,FANG Chao-xiong2,LI Ke-wen2,LI Zi-yun3 |
| |
| Abstract: | The problems existing in the application ofreactive power optimization based on genetic algorithm topractical power system are analyzed. On the basis of traditional genetic algorithm the fitness function and the holding ofpopulation diversity are improved, in addition, the priority ofequipment action and historical empirical data of load are ledinto genetic algorithm and according to the practical situation of Fujian power system the practical improvement of reactive power optimization based on genetic algorithm is finished. The practical application results show that with the improvedgenetic algorithm the action of control equipments is rational,the times of equipment action are less, the voltage qualification rate can be effectively improved and the network loss isreduced. |
| |
| Keywords: | Improved genetic algorithm Power system Reactive power optimization Fujian power system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
